I started in Hong Kong with dual LLB + BBA degrees at HKU, did a magna cum laude master's in Strategy & International Management at St. Gallen with a GenAI thesis on LLMs, agents, and governance, exchanged in Bogotá and Santiago, led an NGO in Guatemala, consulted out of Beijing with Accenture (market-entry strategy, Oracle ERP migration, ML revenue modeling) and Shanghai with PwC (SAP system integration), and joined Amazon as a Business Analyst in Luxembourg before rotating to the L5 PM II role in London in 2024.
The legal training shapes how I build AI: not as unconstrained generation engines, but as systems operating inside explicit rules, authorities, and validation layers. The international footprint shapes the operator habit: most of a program is translation — of constraints between teams, of intent between locales, of model behavior between markets.
AWS Certified AI Practitioner · 2025
AWS Certified Cloud Practitioner · 2022
3× AWS-certified stack
leadership · DEI · cross-cultural teams
- Mentorship — every intern and direct mentee at Amazon to date has received a return offer.
- Cross-cultural delivery — operated and shipped across 3 continents and 6 natural languages: consulting tenure across Greater China (Beijing + Shanghai), master's-era projects in Latin America, current EU operations leadership.
- ERG involvement — active in Glamazon and the Asian & Latino affinity groups at Amazon.
- NGO leadership — led Niños de Xela for one year. Sustainable agricultural-product diversification and long-term business-model design with underprivileged indigenous women in Quetzaltenango, Guatemala. Main speaker and point of contact during in-country fieldwork; organized fundraising events.
master's thesis · st. gallen · 2024
A systems view of generative AI in no-code / low-code development — built around LLMs, agents, and governance rather than prompt theater.
Supervisor: Dr. Edona Elshan · graded magna cum laude
50K+reddit entries · chained pipeline
3pillars · LLMs · agents · governance
Pydanticagent coordination layer
working thesis
The next decade of AI is won by the teams that make capability claims honest. Capabilities are the input. The eval loop is the product.